Overview

Brought to you by YData

Dataset statistics

Number of variables	40
Number of observations	59400
Missing cells	46743
Missing cells (%)	2.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	18.1 MiB
Average record size in memory	320.0 B

Variable types

Numeric	10
DateTime	1
Text	7
Categorical	20
Boolean	2

Alerts

`recorded_by` has constant value "GeoData Consultants Ltd"	Constant
`basin` is highly overall correlated with `construction_year` and 3 other fields	High correlation
`construction_year` is highly overall correlated with `basin` and 3 other fields	High correlation
`extraction_type` is highly overall correlated with `extraction_type_class` and 3 other fields	High correlation
`extraction_type_class` is highly overall correlated with `extraction_type` and 3 other fields	High correlation
`extraction_type_group` is highly overall correlated with `extraction_type` and 3 other fields	High correlation
`gps_height` is highly overall correlated with `construction_year` and 1 other fields	High correlation
`latitude` is highly overall correlated with `basin` and 1 other fields	High correlation
`longitude` is highly overall correlated with `basin` and 1 other fields	High correlation
`management` is highly overall correlated with `management_group` and 1 other fields	High correlation
`management_group` is highly overall correlated with `management` and 1 other fields	High correlation
`payment` is highly overall correlated with `payment_type`	High correlation
`payment_type` is highly overall correlated with `payment`	High correlation
`population` is highly overall correlated with `construction_year` and 1 other fields	High correlation
`quality_group` is highly overall correlated with `water_quality`	High correlation
`quantity` is highly overall correlated with `quantity_group`	High correlation
`quantity_group` is highly overall correlated with `quantity`	High correlation
`region` is highly overall correlated with `basin` and 4 other fields	High correlation
`region_code` is highly overall correlated with `region`	High correlation
`scheme_management` is highly overall correlated with `management` and 1 other fields	High correlation
`source` is highly overall correlated with `source_class` and 1 other fields	High correlation
`source_class` is highly overall correlated with `source` and 1 other fields	High correlation
`source_type` is highly overall correlated with `source` and 1 other fields	High correlation
`water_quality` is highly overall correlated with `quality_group`	High correlation
`waterpoint_type` is highly overall correlated with `extraction_type` and 3 other fields	High correlation
`waterpoint_type_group` is highly overall correlated with `extraction_type` and 3 other fields	High correlation
`public_meeting` is highly imbalanced (56.3%)	Imbalance
`management_group` is highly imbalanced (69.3%)	Imbalance
`water_quality` is highly imbalanced (71.3%)	Imbalance
`quality_group` is highly imbalanced (68.0%)	Imbalance
`funder` has 3637 (6.1%) missing values	Missing
`installer` has 3655 (6.2%) missing values	Missing
`public_meeting` has 3334 (5.6%) missing values	Missing
`scheme_management` has 3878 (6.5%) missing values	Missing
`scheme_name` has 28810 (48.5%) missing values	Missing
`permit` has 3056 (5.1%) missing values	Missing
`amount_tsh` is highly skewed (γ1 = 57.80779995)	Skewed
`num_private` is highly skewed (γ1 = 91.93374999)	Skewed
`id` is uniformly distributed	Uniform
`id` has unique values	Unique
`amount_tsh` has 41639 (70.1%) zeros	Zeros
`gps_height` has 20438 (34.4%) zeros	Zeros
`longitude` has 1812 (3.1%) zeros	Zeros
`num_private` has 58643 (98.7%) zeros	Zeros
`population` has 21381 (36.0%) zeros	Zeros
`construction_year` has 20709 (34.9%) zeros	Zeros

Reproduction

Analysis started	2025-04-19 01:29:19.159288
Analysis finished	2025-04-19 01:29:50.827046
Duration	31.67 seconds
Software version	ydata-profiling vv4.12.2
Download configuration	config.json

id
Real number (ℝ)

Uniform Unique

Distinct	59400
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	37115.132

Minimum	0
Maximum	74247
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	464.2 KiB

Quantile statistics

Minimum	0
5-th percentile	3730.9
Q1	18519.75
median	37061.5
Q3	55656.5
95-th percentile	70564.05
Maximum	74247
Range	74247
Interquartile range (IQR)	37136.75

Descriptive statistics

Standard deviation	21453.128
Coefficient of variation (CV)	0.57801569
Kurtosis	-1.201515
Mean	37115.132
Median Absolute Deviation (MAD)	18568.5
Skewness	0.0026225303
Sum	2.2046388 × 10⁹
Variance	4.6023672 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
69572	1	< 0.1%
27851	1	< 0.1%
6924	1	< 0.1%
61097	1	< 0.1%
48517	1	< 0.1%
62700	1	< 0.1%
48914	1	< 0.1%
479	1	< 0.1%
12824	1	< 0.1%
21909	1	< 0.1%
Other values (59390)	59390	> 99.9%

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
74247	1	< 0.1%
74246	1	< 0.1%
74243	1	< 0.1%
74242	1	< 0.1%
74240	1	< 0.1%
74239	1	< 0.1%
74238	1	< 0.1%
74237	1	< 0.1%
74236	1	< 0.1%
74235	1	< 0.1%

amount_tsh
Real number (ℝ)

Skewed Zeros

Distinct	98
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	317.65038

Minimum	0
Maximum	350000
Zeros	41639
Zeros (%)	70.1%
Negative	0
Negative (%)	0.0%
Memory size	464.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	20
95-th percentile	1200
Maximum	350000
Range	350000
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	2997.5746
Coefficient of variation (CV)	9.43671
Kurtosis	4903.5431
Mean	317.65038
Median Absolute Deviation (MAD)	0
Skewness	57.8078
Sum	18868433
Variance	8985453.2
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	41639	70.1%
500	3102	5.2%
50	2472	4.2%
1000	1488	2.5%
20	1463	2.5%
200	1220	2.1%
100	816	1.4%
10	806	1.4%
30	743	1.3%
2000	704	1.2%
Other values (88)	4947	8.3%

Value	Count	Frequency (%)
0	41639	70.1%
0.2	3	< 0.1%
0.25	1	< 0.1%
1	3	< 0.1%
2	13	< 0.1%
5	376	0.6%
6	190	0.3%
7	69	0.1%
9	1	< 0.1%
10	806	1.4%

Value	Count	Frequency (%)
350000	1	< 0.1%
250000	1	< 0.1%
200000	1	< 0.1%
170000	1	< 0.1%
138000	1	< 0.1%
120000	1	< 0.1%
117000	7	< 0.1%
100000	3	< 0.1%
70000	1	< 0.1%
60000	1	< 0.1%

date_recorded
Date

Distinct	356
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	464.2 KiB

Minimum	2002-10-14 00:00:00
Maximum	2013-12-03 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

funder
Text

Missing

Distinct	1896
Distinct (%)	3.4%
Missing	3637
Missing (%)	6.1%
Memory size	464.2 KiB

Length

Max length	30
Median length	27
Mean length	9.930115
Min length	1

Characters and Unicode

Total characters	553733
Distinct characters	69
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	974 ?
Unique (%)	1.7%

Sample

1st row	Roman
2nd row	Grumeti
3rd row	Lottery Club
4th row	Unicef
5th row	Action In A

Value	Count	Frequency (%)
of	9748	10.8%
government	9276	10.3%
tanzania	9172	10.1%
danida	3123	3.5%
world	2789	3.1%
water	2645	2.9%
hesawa	2203	2.4%
bank	1416	1.6%
rwssp	1376	1.5%
kkkt	1370	1.5%
Other values (2064)	47252	52.3%

Most occurring characters

Value	Count	Frequency (%)
a	68200	12.3%
n	57840	10.4%
i	38011	6.9%
e	37462	6.8%
	34673	6.3%
r	27879	5.0%
t	23016	4.2%
o	22739	4.1%
s	17208	3.1%
d	15464	2.8%
Other values (59)	211241	38.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	553733	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	68200	12.3%
n	57840	10.4%
i	38011	6.9%
e	37462	6.8%
	34673	6.3%
r	27879	5.0%
t	23016	4.2%
o	22739	4.1%
s	17208	3.1%
d	15464	2.8%
Other values (59)	211241	38.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	553733	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	68200	12.3%
n	57840	10.4%
i	38011	6.9%
e	37462	6.8%
	34673	6.3%
r	27879	5.0%
t	23016	4.2%
o	22739	4.1%
s	17208	3.1%
d	15464	2.8%
Other values (59)	211241	38.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	553733	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	68200	12.3%
n	57840	10.4%
i	38011	6.9%
e	37462	6.8%
	34673	6.3%
r	27879	5.0%
t	23016	4.2%
o	22739	4.1%
s	17208	3.1%
d	15464	2.8%
Other values (59)	211241	38.1%

gps_height
Real number (ℝ)

High correlation Zeros

Distinct	2428
Distinct (%)	4.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	668.29724

Minimum	-90
Maximum	2770
Zeros	20438
Zeros (%)	34.4%
Negative	1496
Negative (%)	2.5%
Memory size	464.2 KiB

Quantile statistics

Minimum	-90
5-th percentile	0
Q1	0
median	369
Q3	1319.25
95-th percentile	1797
Maximum	2770
Range	2860
Interquartile range (IQR)	1319.25

Descriptive statistics

Standard deviation	693.11635
Coefficient of variation (CV)	1.0371378
Kurtosis	-1.2924401
Mean	668.29724
Median Absolute Deviation (MAD)	369
Skewness	0.46240208
Sum	39696856
Variance	480410.28
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	20438	34.4%
-15	60	0.1%
-16	55	0.1%
-13	55	0.1%
1290	52	0.1%
-20	52	0.1%
-14	51	0.1%
303	51	0.1%
-18	49	0.1%
-19	47	0.1%
Other values (2418)	38490	64.8%

Value	Count	Frequency (%)
-90	1	< 0.1%
-63	2	< 0.1%
-59	1	< 0.1%
-57	1	< 0.1%
-55	1	< 0.1%
-54	1	< 0.1%
-53	1	< 0.1%
-52	2	< 0.1%
-51	2	< 0.1%
-50	5	< 0.1%

Value	Count	Frequency (%)
2770	1	< 0.1%
2628	1	< 0.1%
2627	1	< 0.1%
2626	2	< 0.1%
2623	1	< 0.1%
2614	1	< 0.1%
2585	1	< 0.1%
2576	1	< 0.1%
2569	1	< 0.1%
2568	1	< 0.1%

installer
Text

Missing

Distinct	2145
Distinct (%)	3.8%
Missing	3655
Missing (%)	6.2%
Memory size	464.2 KiB

Length

Max length	30
Median length	29
Mean length	6.1112028
Min length	1

Characters and Unicode

Total characters	340669
Distinct characters	70
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1098 ?
Unique (%)	2.0%

Sample

1st row	Roman
2nd row	GRUMETI
3rd row	World vision
4th row	UNICEF
5th row	Artisan

Value	Count	Frequency (%)
dwe	17601	25.8%
government	2778	4.1%
water	1881	2.8%
hesawa	1395	2.0%
rwe	1230	1.8%
district	1216	1.8%
kkkt	1153	1.7%
council	1106	1.6%
commu	1065	1.6%
danida	1051	1.5%
Other values (1976)	37806	55.4%

Most occurring characters

Value	Count	Frequency (%)
D	27595	8.1%
W	25849	7.6%
E	25389	7.5%
a	17343	5.1%
n	16558	4.9%
e	15500	4.5%
i	15053	4.4%
A	13668	4.0%
r	13377	3.9%
t	12904	3.8%
Other values (60)	157433	46.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	340669	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
D	27595	8.1%
W	25849	7.6%
E	25389	7.5%
a	17343	5.1%
n	16558	4.9%
e	15500	4.5%
i	15053	4.4%
A	13668	4.0%
r	13377	3.9%
t	12904	3.8%
Other values (60)	157433	46.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	340669	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
D	27595	8.1%
W	25849	7.6%
E	25389	7.5%
a	17343	5.1%
n	16558	4.9%
e	15500	4.5%
i	15053	4.4%
A	13668	4.0%
r	13377	3.9%
t	12904	3.8%
Other values (60)	157433	46.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	340669	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
D	27595	8.1%
W	25849	7.6%
E	25389	7.5%
a	17343	5.1%
n	16558	4.9%
e	15500	4.5%
i	15053	4.4%
A	13668	4.0%
r	13377	3.9%
t	12904	3.8%
Other values (60)	157433	46.2%

longitude
Real number (ℝ)

High correlation Zeros

Distinct	57516
Distinct (%)	96.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	34.077427

Minimum	0
Maximum	40.345193
Zeros	1812
Zeros (%)	3.1%
Negative	0
Negative (%)	0.0%
Memory size	464.2 KiB

Quantile statistics

Minimum	0
5-th percentile	30.04066
Q1	33.090347
median	34.908743
Q3	37.178387
95-th percentile	39.13324
Maximum	40.345193
Range	40.345193
Interquartile range (IQR)	4.0880392

Descriptive statistics

Standard deviation	6.5674318
Coefficient of variation (CV)	0.19272089
Kurtosis	19.187031
Mean	34.077427
Median Absolute Deviation (MAD)	2.0325111
Skewness	-4.1910465
Sum	2024199.1
Variance	43.131161
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1812	3.1%
37.37571687	2	< 0.1%
38.34050134	2	< 0.1%
39.08618257	2	< 0.1%
33.00503158	2	< 0.1%
39.09178536	2	< 0.1%
32.98751118	2	< 0.1%
37.23632569	2	< 0.1%
39.08628657	2	< 0.1%
39.08596496	2	< 0.1%
Other values (57506)	57570	96.9%

Value	Count	Frequency (%)
0	1812	3.1%
29.6071219	1	< 0.1%
29.60720109	1	< 0.1%
29.61032056	1	< 0.1%
29.61096482	1	< 0.1%
29.61194674	1	< 0.1%
29.61250689	1	< 0.1%
29.61276296	1	< 0.1%
29.61344309	1	< 0.1%
29.6168718	1	< 0.1%

Value	Count	Frequency (%)
40.34519307	1	< 0.1%
40.34430089	1	< 0.1%
40.32523996	1	< 0.1%
40.32522643	1	< 0.1%
40.32340181	1	< 0.1%
40.32283237	1	< 0.1%
40.32280453	1	< 0.1%
40.3226251	1	< 0.1%
40.32216902	1	< 0.1%
40.32196593	1	< 0.1%

latitude
Real number (ℝ)

High correlation

Distinct	57517
Distinct (%)	96.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-5.7060327

Minimum	-11.64944
Maximum	-2 × 10^-8
Zeros	0
Zeros (%)	0.0%
Negative	59400
Negative (%)	100.0%
Memory size	464.2 KiB

Quantile statistics

Minimum	-11.64944
5-th percentile	-10.58555
Q1	-8.5406213
median	-5.0215966
Q3	-3.3261556
95-th percentile	-1.4088722
Maximum	-2 × 10^-8
Range	11.64944
Interquartile range (IQR)	5.2144657

Descriptive statistics

Standard deviation	2.9460191
Coefficient of variation (CV)	-0.51629902
Kurtosis	-1.0576167
Mean	-5.7060327
Median Absolute Deviation (MAD)	2.0700299
Skewness	-0.15203657
Sum	-338938.34
Variance	8.6790284
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-2 × 10^-8	1812	3.1%
-6.98584173	2	< 0.1%
-6.9802204	2	< 0.1%
-2.47667983	2	< 0.1%
-6.97826294	2	< 0.1%
-7.07808103	2	< 0.1%
-2.46524583	2	< 0.1%
-2.4943533	2	< 0.1%
-7.1772029	2	< 0.1%
-2.51532072	2	< 0.1%
Other values (57507)	57570	96.9%

Value	Count	Frequency (%)
-11.64944018	1	< 0.1%
-11.64837759	1	< 0.1%
-11.58629656	1	< 0.1%
-11.56857679	1	< 0.1%
-11.56680457	1	< 0.1%
-11.56450865	1	< 0.1%
-11.56432357	1	< 0.1%
-11.56231592	1	< 0.1%
-11.56228898	1	< 0.1%
-11.56161898	1	< 0.1%

Value	Count	Frequency (%)
-2 × 10^-8	1812	3.1%
-0.99846435	1	< 0.1%
-0.998916	1	< 0.1%
-0.99901209	1	< 0.1%
-0.99911702	1	< 0.1%
-0.9994692	1	< 0.1%
-0.99950651	1	< 0.1%
-0.99952232	1	< 0.1%
-1.00058519	1	< 0.1%
-1.0015208	1	< 0.1%

wpt_name
Text

Distinct	37399
Distinct (%)	63.0%
Missing	2
Missing (%)	< 0.1%
Memory size	464.2 KiB

Length

Max length	30
Median length	25
Mean length	10.962339
Min length	1

Characters and Unicode

Total characters	651141
Distinct characters	75
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	32928 ?
Unique (%)	55.4%

Sample

1st row	none
2nd row	Zahanati
3rd row	Kwa Mahundi
4th row	Zahanati Ya Nanyumbu
5th row	Shuleni

Value	Count	Frequency (%)
kwa	21384	19.6%
none	3563	3.3%
mzee	3385	3.1%
shuleni	2123	1.9%
ya	1499	1.4%
shule	1389	1.3%
school	1113	1.0%
primary	1052	1.0%
zahanati	983	0.9%
msingi	870	0.8%
Other values (29461)	71931	65.8%

Most occurring characters

Value	Count	Frequency (%)
a	98806	15.2%
i	52404	8.0%
	49898	7.7%
n	42146	6.5%
e	40983	6.3%
w	31669	4.9%
K	31385	4.8%
o	30245	4.6%
u	24217	3.7%
M	22040	3.4%
Other values (65)	227348	34.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	651141	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	98806	15.2%
i	52404	8.0%
	49898	7.7%
n	42146	6.5%
e	40983	6.3%
w	31669	4.9%
K	31385	4.8%
o	30245	4.6%
u	24217	3.7%
M	22040	3.4%
Other values (65)	227348	34.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	651141	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	98806	15.2%
i	52404	8.0%
	49898	7.7%
n	42146	6.5%
e	40983	6.3%
w	31669	4.9%
K	31385	4.8%
o	30245	4.6%
u	24217	3.7%
M	22040	3.4%
Other values (65)	227348	34.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	651141	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	98806	15.2%
i	52404	8.0%
	49898	7.7%
n	42146	6.5%
e	40983	6.3%
w	31669	4.9%
K	31385	4.8%
o	30245	4.6%
u	24217	3.7%
M	22040	3.4%
Other values (65)	227348	34.9%

num_private
Real number (ℝ)

Skewed Zeros

Distinct	65
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.47414141

Minimum	0
Maximum	1776
Zeros	58643
Zeros (%)	98.7%
Negative	0
Negative (%)	0.0%
Memory size	464.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	1776
Range	1776
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	12.23623
Coefficient of variation (CV)	25.807131
Kurtosis	11137.295
Mean	0.47414141
Median Absolute Deviation (MAD)	0
Skewness	91.93375
Sum	28164
Variance	149.72532
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	58643	98.7%
6	81	0.1%
1	73	0.1%
5	46	0.1%
8	46	0.1%
32	40	0.1%
45	36	0.1%
15	35	0.1%
39	30	0.1%
93	28	< 0.1%
Other values (55)	342	0.6%

Value	Count	Frequency (%)
0	58643	98.7%
1	73	0.1%
2	23	< 0.1%
3	27	< 0.1%
4	20	< 0.1%
5	46	0.1%
6	81	0.1%
7	26	< 0.1%
8	46	0.1%
9	4	< 0.1%

Value	Count	Frequency (%)
1776	1	< 0.1%
1402	1	< 0.1%
755	1	< 0.1%
698	1	< 0.1%
672	1	< 0.1%
668	1	< 0.1%
450	1	< 0.1%
300	1	< 0.1%
280	1	< 0.1%
240	1	< 0.1%

basin
Categorical

High correlation

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	464.2 KiB

Lake Victoria	10248
Pangani	8940
Rufiji	7976
Internal	7785
Lake Tanganyika	6432
Other values (4)	18019

Length

Max length	23
Median length	11
Mean length	10.892357
Min length	6

Characters and Unicode

Total characters	647006
Distinct characters	32
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Lake Nyasa
2nd row	Lake Victoria
3rd row	Pangani
4th row	Ruvuma / Southern Coast
5th row	Lake Victoria

Common Values

Value	Count	Frequency (%)
Lake Victoria	10248	17.3%
Pangani	8940	15.1%
Rufiji	7976	13.4%
Internal	7785	13.1%
Lake Tanganyika	6432	10.8%
Wami / Ruvu	5987	10.1%
Lake Nyasa	5085	8.6%
Ruvuma / Southern Coast	4493	7.6%
Lake Rukwa	2454	4.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
lake	24219	22.2%
	10480	9.6%
victoria	10248	9.4%
pangani	8940	8.2%
rufiji	7976	7.3%
internal	7785	7.1%
tanganyika	6432	5.9%
wami	5987	5.5%
ruvu	5987	5.5%
nyasa	5085	4.7%
Other values (4)	15933	14.6%

Most occurring characters

Value	Count	Frequency (%)
a	107025	16.5%
i	57807	8.9%
n	50807	7.9%
	49672	7.7%
e	36497	5.6%
u	35883	5.5%
k	33105	5.1%
t	27019	4.2%
L	24219	3.7%
r	22526	3.5%
Other values (22)	202446	31.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	647006	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	107025	16.5%
i	57807	8.9%
n	50807	7.9%
	49672	7.7%
e	36497	5.6%
u	35883	5.5%
k	33105	5.1%
t	27019	4.2%
L	24219	3.7%
r	22526	3.5%
Other values (22)	202446	31.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	647006	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	107025	16.5%
i	57807	8.9%
n	50807	7.9%
	49672	7.7%
e	36497	5.6%
u	35883	5.5%
k	33105	5.1%
t	27019	4.2%
L	24219	3.7%
r	22526	3.5%
Other values (22)	202446	31.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	647006	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	107025	16.5%
i	57807	8.9%
n	50807	7.9%
	49672	7.7%
e	36497	5.6%
u	35883	5.5%
k	33105	5.1%
t	27019	4.2%
L	24219	3.7%
r	22526	3.5%
Other values (22)	202446	31.3%

subvillage
Text

Distinct	19287
Distinct (%)	32.7%
Missing	371
Missing (%)	0.6%
Memory size	464.2 KiB

Length

Max length	30
Median length	27
Mean length	7.8975927
Min length	1

Characters and Unicode

Total characters	466187
Distinct characters	73
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9424 ?
Unique (%)	16.0%

Sample

1st row	Mnyusi B
2nd row	Nyamara
3rd row	Majengo
4th row	Mahakamani
5th row	Kyanyamisa

Value	Count	Frequency (%)
a	2387	3.4%
b	2043	2.9%
kati	1902	2.7%
majengo	610	0.9%
wa	600	0.8%
shuleni	593	0.8%
madukani	569	0.8%
mtaa	514	0.7%
juu	403	0.6%
mjini	378	0.5%
Other values (17024)	60795	85.9%

Most occurring characters

Value	Count	Frequency (%)
a	72003	15.4%
i	45666	9.8%
n	33499	7.2%
u	26424	5.7%
e	25671	5.5%
o	23556	5.1%
M	20431	4.4%
g	18951	4.1%
l	16372	3.5%
m	15053	3.2%
Other values (63)	168561	36.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	466187	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	72003	15.4%
i	45666	9.8%
n	33499	7.2%
u	26424	5.7%
e	25671	5.5%
o	23556	5.1%
M	20431	4.4%
g	18951	4.1%
l	16372	3.5%
m	15053	3.2%
Other values (63)	168561	36.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	466187	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	72003	15.4%
i	45666	9.8%
n	33499	7.2%
u	26424	5.7%
e	25671	5.5%
o	23556	5.1%
M	20431	4.4%
g	18951	4.1%
l	16372	3.5%
m	15053	3.2%
Other values (63)	168561	36.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	466187	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	72003	15.4%
i	45666	9.8%
n	33499	7.2%
u	26424	5.7%
e	25671	5.5%
o	23556	5.1%
M	20431	4.4%
g	18951	4.1%
l	16372	3.5%
m	15053	3.2%
Other values (63)	168561	36.2%

region
Categorical

High correlation

Distinct	21
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	464.2 KiB

Iringa	5294
Shinyanga	4982
Mbeya	4639
Kilimanjaro	4379
Morogoro	4006
Other values (16)	36100

Length

Max length	13
Median length	11
Mean length	6.6237542
Min length	4

Characters and Unicode

Total characters	393451
Distinct characters	32
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Iringa
2nd row	Mara
3rd row	Manyara
4th row	Mtwara
5th row	Kagera

Common Values

Value	Count	Frequency (%)
Iringa	5294	8.9%
Shinyanga	4982	8.4%
Mbeya	4639	7.8%
Kilimanjaro	4379	7.4%
Morogoro	4006	6.7%
Arusha	3350	5.6%
Kagera	3316	5.6%
Mwanza	3102	5.2%
Kigoma	2816	4.7%
Ruvuma	2640	4.4%
Other values (11)	20876	35.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
iringa	5294	8.7%
shinyanga	4982	8.2%
mbeya	4639	7.6%
kilimanjaro	4379	7.2%
morogoro	4006	6.6%
arusha	3350	5.5%
kagera	3316	5.4%
mwanza	3102	5.1%
kigoma	2816	4.6%
ruvuma	2640	4.3%
Other values (13)	22486	36.9%

Most occurring characters

Value	Count	Frequency (%)
a	83413	21.2%
n	33143	8.4%
r	32397	8.2%
i	31763	8.1%
o	29580	7.5%
g	25054	6.4%
M	17029	4.3%
m	12841	3.3%
y	11204	2.8%
K	10511	2.7%
Other values (22)	106516	27.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	393451	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	83413	21.2%
n	33143	8.4%
r	32397	8.2%
i	31763	8.1%
o	29580	7.5%
g	25054	6.4%
M	17029	4.3%
m	12841	3.3%
y	11204	2.8%
K	10511	2.7%
Other values (22)	106516	27.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	393451	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	83413	21.2%
n	33143	8.4%
r	32397	8.2%
i	31763	8.1%
o	29580	7.5%
g	25054	6.4%
M	17029	4.3%
m	12841	3.3%
y	11204	2.8%
K	10511	2.7%
Other values (22)	106516	27.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	393451	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	83413	21.2%
n	33143	8.4%
r	32397	8.2%
i	31763	8.1%
o	29580	7.5%
g	25054	6.4%
M	17029	4.3%
m	12841	3.3%
y	11204	2.8%
K	10511	2.7%
Other values (22)	106516	27.1%

region_code
Real number (ℝ)

High correlation

Distinct	27
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.297003

Minimum	1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	464.2 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	5
median	12
Q3	17
95-th percentile	60
Maximum	99
Range	98
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	17.587406
Coefficient of variation (CV)	1.1497289
Kurtosis	10.288433
Mean	15.297003
Median Absolute Deviation (MAD)	6
Skewness	3.1738181
Sum	908642
Variance	309.31686
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
11	5300	8.9%
17	5011	8.4%
12	4639	7.8%
3	4379	7.4%
5	4040	6.8%
18	3324	5.6%
19	3047	5.1%
2	3024	5.1%
16	2816	4.7%
10	2640	4.4%
Other values (17)	21180	35.7%

Value	Count	Frequency (%)
1	2201	3.7%
2	3024	5.1%
3	4379	7.4%
4	2513	4.2%
5	4040	6.8%
6	1609	2.7%
7	805	1.4%
8	300	0.5%
9	390	0.7%
10	2640	4.4%

Value	Count	Frequency (%)
99	423	0.7%
90	917	1.5%
80	1238	2.1%
60	1025	1.7%
40	1	< 0.1%
24	326	0.5%
21	1583	2.7%
20	1969	3.3%
19	3047	5.1%
18	3324	5.6%

district_code
Real number (ℝ)

Distinct	20
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.6297475

Minimum	0
Maximum	80
Zeros	23
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	464.2 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	3
Q3	5
95-th percentile	30
Maximum	80
Range	80
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	9.6336486
Coefficient of variation (CV)	1.7112044
Kurtosis	16.214284
Mean	5.6297475
Median Absolute Deviation (MAD)	1
Skewness	3.9620453
Sum	334407
Variance	92.807186
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
1	12203	20.5%
2	11173	18.8%
3	9998	16.8%
4	8999	15.1%
5	4356	7.3%
6	4074	6.9%
7	3343	5.6%
8	1043	1.8%
30	995	1.7%
33	874	1.5%
Other values (10)	2342	3.9%

Value	Count	Frequency (%)
0	23	< 0.1%
1	12203	20.5%
2	11173	18.8%
3	9998	16.8%
4	8999	15.1%
5	4356	7.3%
6	4074	6.9%
7	3343	5.6%
8	1043	1.8%
13	391	0.7%

Value	Count	Frequency (%)
80	12	< 0.1%
67	6	< 0.1%
63	195	0.3%
62	109	0.2%
60	63	0.1%
53	745	1.3%
43	505	0.9%
33	874	1.5%
30	995	1.7%
23	293	0.5%

lga
Text

Distinct	125
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	464.2 KiB

Length

Max length	16
Median length	14
Mean length	7.4168855
Min length	3

Characters and Unicode

Total characters	440563
Distinct characters	41
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Ludewa
2nd row	Serengeti
3rd row	Simanjiro
4th row	Nanyumbu
5th row	Karagwe

Value	Count	Frequency (%)
rural	9552	13.5%
njombe	2503	3.5%
urban	1683	2.4%
moshi	1330	1.9%
arusha	1315	1.9%
bariadi	1177	1.7%
singida	1172	1.7%
rungwe	1106	1.6%
kilosa	1094	1.5%
kasulu	1047	1.5%
Other values (106)	48656	68.9%

Most occurring characters

Value	Count	Frequency (%)
a	69982	15.9%
o	30079	6.8%
i	29483	6.7%
u	28324	6.4%
r	26886	6.1%
e	22579	5.1%
n	22521	5.1%
l	19238	4.4%
g	18385	4.2%
M	16017	3.6%
Other values (31)	157069	35.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	440563	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	69982	15.9%
o	30079	6.8%
i	29483	6.7%
u	28324	6.4%
r	26886	6.1%
e	22579	5.1%
n	22521	5.1%
l	19238	4.4%
g	18385	4.2%
M	16017	3.6%
Other values (31)	157069	35.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	440563	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	69982	15.9%
o	30079	6.8%
i	29483	6.7%
u	28324	6.4%
r	26886	6.1%
e	22579	5.1%
n	22521	5.1%
l	19238	4.4%
g	18385	4.2%
M	16017	3.6%
Other values (31)	157069	35.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	440563	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	69982	15.9%
o	30079	6.8%
i	29483	6.7%
u	28324	6.4%
r	26886	6.1%
e	22579	5.1%
n	22521	5.1%
l	19238	4.4%
g	18385	4.2%
M	16017	3.6%
Other values (31)	157069	35.7%

ward
Text

Distinct	2092
Distinct (%)	3.5%
Missing	0
Missing (%)	0.0%
Memory size	464.2 KiB

Length

Max length	23
Median length	19
Mean length	7.5058418
Min length	3

Characters and Unicode

Total characters	445847
Distinct characters	54
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	30 ?
Unique (%)	0.1%

Sample

1st row	Mundindi
2nd row	Natta
3rd row	Ngorika
4th row	Nanyumbu
5th row	Nyakasimbi

Value	Count	Frequency (%)
mashariki	580	0.9%
urban	540	0.8%
siha	434	0.7%
kusini	393	0.6%
magharibi	362	0.6%
igosi	307	0.5%
masama	303	0.5%
machame	293	0.5%
kati	270	0.4%
imalinyi	252	0.4%
Other values (2106)	61033	94.2%

Most occurring characters

Value	Count	Frequency (%)
a	69533	15.6%
i	40243	9.0%
n	29584	6.6%
u	27015	6.1%
o	26093	5.9%
e	23589	5.3%
g	21166	4.7%
M	18916	4.2%
m	16216	3.6%
l	15799	3.5%
Other values (44)	157693	35.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	445847	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	69533	15.6%
i	40243	9.0%
n	29584	6.6%
u	27015	6.1%
o	26093	5.9%
e	23589	5.3%
g	21166	4.7%
M	18916	4.2%
m	16216	3.6%
l	15799	3.5%
Other values (44)	157693	35.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	445847	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	69533	15.6%
i	40243	9.0%
n	29584	6.6%
u	27015	6.1%
o	26093	5.9%
e	23589	5.3%
g	21166	4.7%
M	18916	4.2%
m	16216	3.6%
l	15799	3.5%
Other values (44)	157693	35.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	445847	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	69533	15.6%
i	40243	9.0%
n	29584	6.6%
u	27015	6.1%
o	26093	5.9%
e	23589	5.3%
g	21166	4.7%
M	18916	4.2%
m	16216	3.6%
l	15799	3.5%
Other values (44)	157693	35.4%

population
Real number (ℝ)

High correlation Zeros

Distinct	1049
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	179.90998

Minimum	0
Maximum	30500
Zeros	21381
Zeros (%)	36.0%
Negative	0
Negative (%)	0.0%
Memory size	464.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	25
Q3	215
95-th percentile	680
Maximum	30500
Range	30500
Interquartile range (IQR)	215

Descriptive statistics

Standard deviation	471.48218
Coefficient of variation (CV)	2.620656
Kurtosis	402.28012
Mean	179.90998
Median Absolute Deviation (MAD)	25
Skewness	12.660714
Sum	10686653
Variance	222295.44
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	21381	36.0%
1	7025	11.8%
200	1940	3.3%
150	1892	3.2%
250	1681	2.8%
300	1476	2.5%
100	1146	1.9%
50	1139	1.9%
500	1009	1.7%
350	986	1.7%
Other values (1039)	19725	33.2%

Value	Count	Frequency (%)
0	21381	36.0%
1	7025	11.8%
2	4	< 0.1%
3	4	< 0.1%
4	13	< 0.1%
5	44	0.1%
6	19	< 0.1%
7	3	< 0.1%
8	23	< 0.1%
9	11	< 0.1%

Value	Count	Frequency (%)
30500	1	< 0.1%
15300	1	< 0.1%
11463	1	< 0.1%
10000	3	< 0.1%
9865	1	< 0.1%
9500	1	< 0.1%
9000	3	< 0.1%
8848	1	< 0.1%
8600	1	< 0.1%
8500	1	< 0.1%

public_meeting
Boolean

Imbalance Missing

Distinct	2
Distinct (%)	< 0.1%
Missing	3334
Missing (%)	5.6%
Memory size	464.2 KiB

True	51011
False	5055
(Missing)	3334

Value	Count	Frequency (%)
True	51011	85.9%
False	5055	8.5%
(Missing)	3334	5.6%

recorded_by
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	464.2 KiB

GeoData Consultants Ltd	59400

Length

Max length	23
Median length	23
Mean length	23
Min length	23

Characters and Unicode

Total characters	1366200
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	GeoData Consultants Ltd
2nd row	GeoData Consultants Ltd
3rd row	GeoData Consultants Ltd
4th row	GeoData Consultants Ltd
5th row	GeoData Consultants Ltd

Common Values

Value	Count	Frequency (%)
GeoData Consultants Ltd	59400	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
geodata	59400	33.3%
consultants	59400	33.3%
ltd	59400	33.3%

Most occurring characters

Value	Count	Frequency (%)
t	237600	17.4%
a	178200	13.0%
o	118800	8.7%
	118800	8.7%
n	118800	8.7%
s	118800	8.7%
G	59400	4.3%
e	59400	4.3%
D	59400	4.3%
C	59400	4.3%
Other values (4)	237600	17.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1366200	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	237600	17.4%
a	178200	13.0%
o	118800	8.7%
	118800	8.7%
n	118800	8.7%
s	118800	8.7%
G	59400	4.3%
e	59400	4.3%
D	59400	4.3%
C	59400	4.3%
Other values (4)	237600	17.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1366200	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	237600	17.4%
a	178200	13.0%
o	118800	8.7%
	118800	8.7%
n	118800	8.7%
s	118800	8.7%
G	59400	4.3%
e	59400	4.3%
D	59400	4.3%
C	59400	4.3%
Other values (4)	237600	17.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1366200	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	237600	17.4%
a	178200	13.0%
o	118800	8.7%
	118800	8.7%
n	118800	8.7%
s	118800	8.7%
G	59400	4.3%
e	59400	4.3%
D	59400	4.3%
C	59400	4.3%
Other values (4)	237600	17.4%

scheme_management
Categorical

High correlation Missing

Distinct	11
Distinct (%)	< 0.1%
Missing	3878
Missing (%)	6.5%
Memory size	464.2 KiB

VWC	36793
WUG	5206
Water authority	3153
WUA	2883
Water Board	2748
Other values (6)	4739

Length

Max length	16
Median length	3
Mean length	4.6447354
Min length	3

Characters and Unicode

Total characters	257885
Distinct characters	28
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	VWC
2nd row	Other
3rd row	VWC
4th row	VWC
5th row	VWC

Common Values

Value	Count	Frequency (%)
VWC	36793	61.9%
WUG	5206	8.8%
Water authority	3153	5.3%
WUA	2883	4.9%
Water Board	2748	4.6%
Parastatal	1680	2.8%
Private operator	1063	1.8%
Company	1061	1.8%
Other	766	1.3%
SWC	97	0.2%
(Missing)	3878	6.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
vwc	36793	58.9%
water	5901	9.4%
wug	5206	8.3%
authority	3153	5.0%
wua	2883	4.6%
board	2748	4.4%
parastatal	1680	2.7%
private	1063	1.7%
operator	1063	1.7%
company	1061	1.7%
Other values (3)	935	1.5%

Most occurring characters

Value	Count	Frequency (%)
W	50880	19.7%
C	37951	14.7%
V	36793	14.3%
a	21709	8.4%
t	18531	7.2%
r	17509	6.8%
o	9088	3.5%
e	8793	3.4%
U	8089	3.1%
	6964	2.7%
Other values (18)	41578	16.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	257885	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
W	50880	19.7%
C	37951	14.7%
V	36793	14.3%
a	21709	8.4%
t	18531	7.2%
r	17509	6.8%
o	9088	3.5%
e	8793	3.4%
U	8089	3.1%
	6964	2.7%
Other values (18)	41578	16.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	257885	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
W	50880	19.7%
C	37951	14.7%
V	36793	14.3%
a	21709	8.4%
t	18531	7.2%
r	17509	6.8%
o	9088	3.5%
e	8793	3.4%
U	8089	3.1%
	6964	2.7%
Other values (18)	41578	16.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	257885	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
W	50880	19.7%
C	37951	14.7%
V	36793	14.3%
a	21709	8.4%
t	18531	7.2%
r	17509	6.8%
o	9088	3.5%
e	8793	3.4%
U	8089	3.1%
	6964	2.7%
Other values (18)	41578	16.1%

scheme_name
Text

Missing

Distinct	2695
Distinct (%)	8.8%
Missing	28810
Missing (%)	48.5%
Memory size	464.2 KiB

Length

Max length	46
Median length	37
Mean length	14.522164
Min length	1

Characters and Unicode

Total characters	444233
Distinct characters	68
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	712 ?
Unique (%)	2.3%

Sample

1st row	Roman
2nd row	Nyumba ya mungu pipe scheme
3rd row	Zingibali
4th row	BL Bondeni
5th row	wanging'ombe water supply s

Value	Count	Frequency (%)
water	9770	13.7%
supply	6745	9.5%
scheme	2532	3.5%
wa	2157	3.0%
gravity	1914	2.7%
pipe	1346	1.9%
maji	1343	1.9%
mradi	1097	1.5%
line	1016	1.4%
supplied	877	1.2%
Other values (2506)	42575	59.7%

Most occurring characters

Value	Count	Frequency (%)
a	48584	10.9%
	41252	9.3%
e	34595	7.8%
i	26411	5.9%
p	22451	5.1%
r	21816	4.9%
t	19216	4.3%
u	18441	4.2%
l	17308	3.9%
n	17116	3.9%
Other values (58)	177043	39.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	444233	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	48584	10.9%
	41252	9.3%
e	34595	7.8%
i	26411	5.9%
p	22451	5.1%
r	21816	4.9%
t	19216	4.3%
u	18441	4.2%
l	17308	3.9%
n	17116	3.9%
Other values (58)	177043	39.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	444233	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	48584	10.9%
	41252	9.3%
e	34595	7.8%
i	26411	5.9%
p	22451	5.1%
r	21816	4.9%
t	19216	4.3%
u	18441	4.2%
l	17308	3.9%
n	17116	3.9%
Other values (58)	177043	39.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	444233	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	48584	10.9%
	41252	9.3%
e	34595	7.8%
i	26411	5.9%
p	22451	5.1%
r	21816	4.9%
t	19216	4.3%
u	18441	4.2%
l	17308	3.9%
n	17116	3.9%
Other values (58)	177043	39.9%

permit
Boolean

Missing

Distinct	2
Distinct (%)	< 0.1%
Missing	3056
Missing (%)	5.1%
Memory size	464.2 KiB

True	38852
False	17492
(Missing)	3056

Value	Count	Frequency (%)
True	38852	65.4%
False	17492	29.4%
(Missing)	3056	5.1%

construction_year
Real number (ℝ)

High correlation Zeros

Distinct	55
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1300.6525

Minimum	0
Maximum	2013
Zeros	20709
Zeros (%)	34.9%
Negative	0
Negative (%)	0.0%
Memory size	464.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1986
Q3	2004
95-th percentile	2010
Maximum	2013
Range	2013
Interquartile range (IQR)	2004

Descriptive statistics

Standard deviation	951.62055
Coefficient of variation (CV)	0.73164859
Kurtosis	-1.5964324
Mean	1300.6525
Median Absolute Deviation (MAD)	22
Skewness	-0.63492779
Sum	77258757
Variance	905581.67
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	20709	34.9%
2010	2645	4.5%
2008	2613	4.4%
2009	2533	4.3%
2000	2091	3.5%
2007	1587	2.7%
2006	1471	2.5%
2003	1286	2.2%
2011	1256	2.1%
2004	1123	1.9%
Other values (45)	22086	37.2%

Value	Count	Frequency (%)
0	20709	34.9%
1960	102	0.2%
1961	21	< 0.1%
1962	30	0.1%
1963	85	0.1%
1964	40	0.1%
1965	19	< 0.1%
1966	17	< 0.1%
1967	88	0.1%
1968	77	0.1%

Value	Count	Frequency (%)
2013	176	0.3%
2012	1084	1.8%
2011	1256	2.1%
2010	2645	4.5%
2009	2533	4.3%
2008	2613	4.4%
2007	1587	2.7%
2006	1471	2.5%
2005	1011	1.7%
2004	1123	1.9%

extraction_type
Categorical

High correlation

Distinct	18
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	464.2 KiB

gravity	26780
nira/tanira	8154
other	6430
submersible	4764
swn 80	3670
Other values (13)	9602

Length

Max length	25
Median length	17
Mean length	7.7195118
Min length	3

Characters and Unicode

Total characters	458539
Distinct characters	29
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	gravity
2nd row	gravity
3rd row	gravity
4th row	submersible
5th row	gravity

Common Values

Value	Count	Frequency (%)
gravity	26780	45.1%
nira/tanira	8154	13.7%
other	6430	10.8%
submersible	4764	8.0%
swn 80	3670	6.2%
mono	2865	4.8%
india mark ii	2400	4.0%
afridev	1770	3.0%
ksb	1415	2.4%
other - rope pump	451	0.8%
Other values (8)	701	1.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
gravity	26780	38.1%
nira/tanira	8154	11.6%
other	7197	10.2%
submersible	4764	6.8%
swn	3899	5.5%
80	3670	5.2%
mono	2865	4.1%
india	2498	3.6%
mark	2498	3.6%
ii	2400	3.4%
Other values (13)	5640	8.0%

Most occurring characters

Value	Count	Frequency (%)
i	60078	13.1%
r	59768	13.0%
a	58179	12.7%
t	42131	9.2%
v	28550	6.2%
y	26867	5.9%
g	26782	5.8%
n	25691	5.6%
e	19036	4.2%
s	14844	3.2%
Other values (19)	96613	21.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	458539	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	60078	13.1%
r	59768	13.0%
a	58179	12.7%
t	42131	9.2%
v	28550	6.2%
y	26867	5.9%
g	26782	5.8%
n	25691	5.6%
e	19036	4.2%
s	14844	3.2%
Other values (19)	96613	21.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	458539	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	60078	13.1%
r	59768	13.0%
a	58179	12.7%
t	42131	9.2%
v	28550	6.2%
y	26867	5.9%
g	26782	5.8%
n	25691	5.6%
e	19036	4.2%
s	14844	3.2%
Other values (19)	96613	21.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	458539	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	60078	13.1%
r	59768	13.0%
a	58179	12.7%
t	42131	9.2%
v	28550	6.2%
y	26867	5.9%
g	26782	5.8%
n	25691	5.6%
e	19036	4.2%
s	14844	3.2%
Other values (19)	96613	21.1%

extraction_type_group
Categorical

High correlation

Distinct	13
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	464.2 KiB

gravity	26780
nira/tanira	8154
other	6430
submersible	6179
swn 80	3670
Other values (8)	8187

Length

Max length	15
Median length	14
Mean length	7.8805387
Min length	4

Characters and Unicode

Total characters	468104
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	gravity
2nd row	gravity
3rd row	gravity
4th row	submersible
5th row	gravity

Common Values

Value	Count	Frequency (%)
gravity	26780	45.1%
nira/tanira	8154	13.7%
other	6430	10.8%
submersible	6179	10.4%
swn 80	3670	6.2%
mono	2865	4.8%
india mark ii	2400	4.0%
afridev	1770	3.0%
rope pump	451	0.8%
other handpump	364	0.6%
Other values (3)	337	0.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
gravity	26780	38.8%
nira/tanira	8154	11.8%
other	6916	10.0%
submersible	6179	9.0%
swn	3670	5.3%
80	3670	5.3%
mono	2865	4.2%
mark	2498	3.6%
india	2498	3.6%
ii	2400	3.5%
Other values (7)	3373	4.9%

Most occurring characters

Value	Count	Frequency (%)
i	61244	13.1%
r	61141	13.1%
a	58372	12.5%
t	41972	9.0%
v	28550	6.1%
g	26780	5.7%
y	26780	5.7%
n	25822	5.5%
e	21729	4.6%
s	16028	3.4%
Other values (16)	99686	21.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	468104	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	61244	13.1%
r	61141	13.1%
a	58372	12.5%
t	41972	9.0%
v	28550	6.1%
g	26780	5.7%
y	26780	5.7%
n	25822	5.5%
e	21729	4.6%
s	16028	3.4%
Other values (16)	99686	21.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	468104	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	61244	13.1%
r	61141	13.1%
a	58372	12.5%
t	41972	9.0%
v	28550	6.1%
g	26780	5.7%
y	26780	5.7%
n	25822	5.5%
e	21729	4.6%
s	16028	3.4%
Other values (16)	99686	21.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	468104	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	61244	13.1%
r	61141	13.1%
a	58372	12.5%
t	41972	9.0%
v	28550	6.1%
g	26780	5.7%
y	26780	5.7%
n	25822	5.5%
e	21729	4.6%
s	16028	3.4%
Other values (16)	99686	21.3%

extraction_type_class
Categorical

High correlation

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	464.2 KiB

gravity	26780
handpump	16456
other	6430
submersible	6179
motorpump	2987
Other values (2)	568

Length

Max length	12
Median length	11
Mean length	7.6022391
Min length	5

Characters and Unicode

Total characters	451573
Distinct characters	21
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	gravity
2nd row	gravity
3rd row	gravity
4th row	submersible
5th row	gravity

Common Values

Value	Count	Frequency (%)
gravity	26780	45.1%
handpump	16456	27.7%
other	6430	10.8%
submersible	6179	10.4%
motorpump	2987	5.0%
rope pump	451	0.8%
wind-powered	117	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
gravity	26780	44.7%
handpump	16456	27.5%
other	6430	10.7%
submersible	6179	10.3%
motorpump	2987	5.0%
rope	451	0.8%
pump	451	0.8%
wind-powered	117	0.2%

Most occurring characters

Value	Count	Frequency (%)
a	43236	9.6%
r	42944	9.5%
p	40356	8.9%
t	36197	8.0%
i	33076	7.3%
m	29060	6.4%
g	26780	5.9%
y	26780	5.9%
v	26780	5.9%
u	26073	5.8%
Other values (11)	120291	26.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	451573	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	43236	9.6%
r	42944	9.5%
p	40356	8.9%
t	36197	8.0%
i	33076	7.3%
m	29060	6.4%
g	26780	5.9%
y	26780	5.9%
v	26780	5.9%
u	26073	5.8%
Other values (11)	120291	26.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	451573	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	43236	9.6%
r	42944	9.5%
p	40356	8.9%
t	36197	8.0%
i	33076	7.3%
m	29060	6.4%
g	26780	5.9%
y	26780	5.9%
v	26780	5.9%
u	26073	5.8%
Other values (11)	120291	26.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	451573	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	43236	9.6%
r	42944	9.5%
p	40356	8.9%
t	36197	8.0%
i	33076	7.3%
m	29060	6.4%
g	26780	5.9%
y	26780	5.9%
v	26780	5.9%
u	26073	5.8%
Other values (11)	120291	26.6%

management
Categorical

High correlation

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	464.2 KiB

vwc	40507
wug	6515
water board	2933
wua	2535
private operator	1971
Other values (7)	4939

Length

Max length	16
Median length	3
Mean length	4.3506397
Min length	3

Characters and Unicode

Total characters	258428
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	vwc
2nd row	wug
3rd row	vwc
4th row	vwc
5th row	other

Common Values

Value	Count	Frequency (%)
vwc	40507	68.2%
wug	6515	11.0%
water board	2933	4.9%
wua	2535	4.3%
private operator	1971	3.3%
parastatal	1768	3.0%
water authority	904	1.5%
other	844	1.4%
company	685	1.2%
unknown	561	0.9%
Other values (2)	177	0.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
vwc	40507	61.9%
wug	6515	10.0%
water	3837	5.9%
board	2933	4.5%
wua	2535	3.9%
private	1971	3.0%
operator	1971	3.0%
parastatal	1768	2.7%
other	943	1.4%
authority	904	1.4%
Other values (5)	1522	2.3%

Most occurring characters

Value	Count	Frequency (%)
w	53955	20.9%
v	42478	16.4%
c	41291	16.0%
a	21908	8.5%
r	16376	6.3%
t	14222	5.5%
u	10593	4.1%
o	10166	3.9%
e	8722	3.4%
g	6515	2.5%
Other values (13)	32202	12.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	258428	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
w	53955	20.9%
v	42478	16.4%
c	41291	16.0%
a	21908	8.5%
r	16376	6.3%
t	14222	5.5%
u	10593	4.1%
o	10166	3.9%
e	8722	3.4%
g	6515	2.5%
Other values (13)	32202	12.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	258428	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
w	53955	20.9%
v	42478	16.4%
c	41291	16.0%
a	21908	8.5%
r	16376	6.3%
t	14222	5.5%
u	10593	4.1%
o	10166	3.9%
e	8722	3.4%
g	6515	2.5%
Other values (13)	32202	12.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	258428	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
w	53955	20.9%
v	42478	16.4%
c	41291	16.0%
a	21908	8.5%
r	16376	6.3%
t	14222	5.5%
u	10593	4.1%
o	10166	3.9%
e	8722	3.4%
g	6515	2.5%
Other values (13)	32202	12.5%

management_group
Categorical

High correlation Imbalance

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	464.2 KiB

user-group	52490
commercial	3638
parastatal	1768
other	943
unknown	561

Length

Max length	10
Median length	10
Mean length	9.8922896
Min length	5

Characters and Unicode

Total characters	587602
Distinct characters	18
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	user-group
2nd row	user-group
3rd row	user-group
4th row	user-group
5th row	other

Common Values

Value	Count	Frequency (%)
user-group	52490	88.4%
commercial	3638	6.1%
parastatal	1768	3.0%
other	943	1.6%
unknown	561	0.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
user-group	52490	88.4%
commercial	3638	6.1%
parastatal	1768	3.0%
other	943	1.6%
unknown	561	0.9%

Most occurring characters

Value	Count	Frequency (%)
r	111329	18.9%
u	105541	18.0%
o	57632	9.8%
e	57071	9.7%
s	54258	9.2%
p	54258	9.2%
-	52490	8.9%
g	52490	8.9%
a	10710	1.8%
m	7276	1.2%
Other values (8)	24547	4.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	587602	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	111329	18.9%
u	105541	18.0%
o	57632	9.8%
e	57071	9.7%
s	54258	9.2%
p	54258	9.2%
-	52490	8.9%
g	52490	8.9%
a	10710	1.8%
m	7276	1.2%
Other values (8)	24547	4.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	587602	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	111329	18.9%
u	105541	18.0%
o	57632	9.8%
e	57071	9.7%
s	54258	9.2%
p	54258	9.2%
-	52490	8.9%
g	52490	8.9%
a	10710	1.8%
m	7276	1.2%
Other values (8)	24547	4.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	587602	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	111329	18.9%
u	105541	18.0%
o	57632	9.8%
e	57071	9.7%
s	54258	9.2%
p	54258	9.2%
-	52490	8.9%
g	52490	8.9%
a	10710	1.8%
m	7276	1.2%
Other values (8)	24547	4.2%

payment
Categorical

High correlation

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	464.2 KiB

never pay	25348
pay per bucket	8985
pay monthly	8300
unknown	8157
pay when scheme fails	3914
Other values (2)	4696

Length

Max length	21
Median length	14
Mean length	10.664798
Min length	5

Characters and Unicode

Total characters	633489
Distinct characters	21
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	pay annually
2nd row	never pay
3rd row	pay per bucket
4th row	never pay
5th row	never pay

Common Values

Value	Count	Frequency (%)
never pay	25348	42.7%
pay per bucket	8985	15.1%
pay monthly	8300	14.0%
unknown	8157	13.7%
pay when scheme fails	3914	6.6%
pay annually	3642	6.1%
other	1054	1.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
pay	50189	39.7%
never	25348	20.1%
per	8985	7.1%
bucket	8985	7.1%
monthly	8300	6.6%
unknown	8157	6.5%
when	3914	3.1%
scheme	3914	3.1%
fails	3914	3.1%
annually	3642	2.9%

Most occurring characters

Value	Count	Frequency (%)
e	81462	12.9%
n	69317	10.9%
	67002	10.6%
y	62131	9.8%
a	61387	9.7%
p	59174	9.3%
r	35387	5.6%
v	25348	4.0%
u	20784	3.3%
l	19498	3.1%
Other values (11)	131999	20.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	633489	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	81462	12.9%
n	69317	10.9%
	67002	10.6%
y	62131	9.8%
a	61387	9.7%
p	59174	9.3%
r	35387	5.6%
v	25348	4.0%
u	20784	3.3%
l	19498	3.1%
Other values (11)	131999	20.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	633489	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	81462	12.9%
n	69317	10.9%
	67002	10.6%
y	62131	9.8%
a	61387	9.7%
p	59174	9.3%
r	35387	5.6%
v	25348	4.0%
u	20784	3.3%
l	19498	3.1%
Other values (11)	131999	20.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	633489	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	81462	12.9%
n	69317	10.9%
	67002	10.6%
y	62131	9.8%
a	61387	9.7%
p	59174	9.3%
r	35387	5.6%
v	25348	4.0%
u	20784	3.3%
l	19498	3.1%
Other values (11)	131999	20.8%

payment_type
Categorical

High correlation

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	464.2 KiB

never pay	25348
per bucket	8985
monthly	8300
unknown	8157
on failure	3914
Other values (2)	4696

Length

Max length	10
Median length	9
Mean length	8.5307576
Min length	5

Characters and Unicode

Total characters	506727
Distinct characters	20
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	annually
2nd row	never pay
3rd row	per bucket
4th row	never pay
5th row	never pay

Common Values

Value	Count	Frequency (%)
never pay	25348	42.7%
per bucket	8985	15.1%
monthly	8300	14.0%
unknown	8157	13.7%
on failure	3914	6.6%
annually	3642	6.1%
other	1054	1.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
never	25348	26.0%
pay	25348	26.0%
per	8985	9.2%
bucket	8985	9.2%
monthly	8300	8.5%
unknown	8157	8.4%
on	3914	4.0%
failure	3914	4.0%
annually	3642	3.7%
other	1054	1.1%

Most occurring characters

Value	Count	Frequency (%)
e	73634	14.5%
n	69317	13.7%
r	39301	7.8%
	38247	7.5%
y	37290	7.4%
a	36546	7.2%
p	34333	6.8%
v	25348	5.0%
u	24698	4.9%
o	21425	4.2%
Other values (10)	106588	21.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	506727	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	73634	14.5%
n	69317	13.7%
r	39301	7.8%
	38247	7.5%
y	37290	7.4%
a	36546	7.2%
p	34333	6.8%
v	25348	5.0%
u	24698	4.9%
o	21425	4.2%
Other values (10)	106588	21.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	506727	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	73634	14.5%
n	69317	13.7%
r	39301	7.8%
	38247	7.5%
y	37290	7.4%
a	36546	7.2%
p	34333	6.8%
v	25348	5.0%
u	24698	4.9%
o	21425	4.2%
Other values (10)	106588	21.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	506727	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	73634	14.5%
n	69317	13.7%
r	39301	7.8%
	38247	7.5%
y	37290	7.4%
a	36546	7.2%
p	34333	6.8%
v	25348	5.0%
u	24698	4.9%
o	21425	4.2%
Other values (10)	106588	21.0%

water_quality
Categorical

High correlation Imbalance

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	464.2 KiB

soft	50818
salty	4856
unknown	1876
milky	804
coloured	490
Other values (3)	556

Length

Max length	18
Median length	4
Mean length	4.3032828
Min length	4

Characters and Unicode

Total characters	255615
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	soft
2nd row	soft
3rd row	soft
4th row	soft
5th row	soft

Common Values

Value	Count	Frequency (%)
soft	50818	85.6%
salty	4856	8.2%
unknown	1876	3.2%
milky	804	1.4%
coloured	490	0.8%
salty abandoned	339	0.6%
fluoride	200	0.3%
fluoride abandoned	17	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
soft	50818	85.0%
salty	5195	8.7%
unknown	1876	3.1%
milky	804	1.3%
coloured	490	0.8%
abandoned	356	0.6%
fluoride	217	0.4%

Most occurring characters

Value	Count	Frequency (%)
s	56013	21.9%
t	56013	21.9%
o	54247	21.2%
f	51035	20.0%
l	6706	2.6%
n	6340	2.5%
y	5999	2.3%
a	5907	2.3%
k	2680	1.0%
u	2583	1.0%
Other values (9)	8092	3.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	255615	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
s	56013	21.9%
t	56013	21.9%
o	54247	21.2%
f	51035	20.0%
l	6706	2.6%
n	6340	2.5%
y	5999	2.3%
a	5907	2.3%
k	2680	1.0%
u	2583	1.0%
Other values (9)	8092	3.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	255615	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
s	56013	21.9%
t	56013	21.9%
o	54247	21.2%
f	51035	20.0%
l	6706	2.6%
n	6340	2.5%
y	5999	2.3%
a	5907	2.3%
k	2680	1.0%
u	2583	1.0%
Other values (9)	8092	3.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	255615	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
s	56013	21.9%
t	56013	21.9%
o	54247	21.2%
f	51035	20.0%
l	6706	2.6%
n	6340	2.5%
y	5999	2.3%
a	5907	2.3%
k	2680	1.0%
u	2583	1.0%
Other values (9)	8092	3.2%

quality_group
Categorical

High correlation Imbalance

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	464.2 KiB

good	50818
salty	5195
unknown	1876
milky	804
colored	490

Length

Max length	8
Median length	4
Mean length	4.235101
Min length	4

Characters and Unicode

Total characters	251565
Distinct characters	18
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	good
2nd row	good
3rd row	good
4th row	good
5th row	good

Common Values

Value	Count	Frequency (%)
good	50818	85.6%
salty	5195	8.7%
unknown	1876	3.2%
milky	804	1.4%
colored	490	0.8%
fluoride	217	0.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
good	50818	85.6%
salty	5195	8.7%
unknown	1876	3.2%
milky	804	1.4%
colored	490	0.8%
fluoride	217	0.4%

Most occurring characters

Value	Count	Frequency (%)
o	104709	41.6%
d	51525	20.5%
g	50818	20.2%
l	6706	2.7%
y	5999	2.4%
n	5628	2.2%
t	5195	2.1%
a	5195	2.1%
s	5195	2.1%
k	2680	1.1%
Other values (8)	7915	3.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	251565	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	104709	41.6%
d	51525	20.5%
g	50818	20.2%
l	6706	2.7%
y	5999	2.4%
n	5628	2.2%
t	5195	2.1%
a	5195	2.1%
s	5195	2.1%
k	2680	1.1%
Other values (8)	7915	3.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	251565	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	104709	41.6%
d	51525	20.5%
g	50818	20.2%
l	6706	2.7%
y	5999	2.4%
n	5628	2.2%
t	5195	2.1%
a	5195	2.1%
s	5195	2.1%
k	2680	1.1%
Other values (8)	7915	3.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	251565	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	104709	41.6%
d	51525	20.5%
g	50818	20.2%
l	6706	2.7%
y	5999	2.4%
n	5628	2.2%
t	5195	2.1%
a	5195	2.1%
s	5195	2.1%
k	2680	1.1%
Other values (8)	7915	3.1%

quantity
Categorical

High correlation

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	464.2 KiB

enough	33186
insufficient	15129
dry	6246
seasonal	4050
unknown	789

Length

Max length	12
Median length	6
Mean length	7.3623737
Min length	3

Characters and Unicode

Total characters	437325
Distinct characters	18
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	enough
2nd row	insufficient
3rd row	enough
4th row	dry
5th row	seasonal

Common Values

Value	Count	Frequency (%)
enough	33186	55.9%
insufficient	15129	25.5%
dry	6246	10.5%
seasonal	4050	6.8%
unknown	789	1.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
enough	33186	55.9%
insufficient	15129	25.5%
dry	6246	10.5%
seasonal	4050	6.8%
unknown	789	1.3%

Most occurring characters

Value	Count	Frequency (%)
n	69861	16.0%
e	52365	12.0%
u	49104	11.2%
i	45387	10.4%
o	38025	8.7%
g	33186	7.6%
h	33186	7.6%
f	30258	6.9%
s	23229	5.3%
t	15129	3.5%
Other values (8)	47595	10.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	437325	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	69861	16.0%
e	52365	12.0%
u	49104	11.2%
i	45387	10.4%
o	38025	8.7%
g	33186	7.6%
h	33186	7.6%
f	30258	6.9%
s	23229	5.3%
t	15129	3.5%
Other values (8)	47595	10.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	437325	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	69861	16.0%
e	52365	12.0%
u	49104	11.2%
i	45387	10.4%
o	38025	8.7%
g	33186	7.6%
h	33186	7.6%
f	30258	6.9%
s	23229	5.3%
t	15129	3.5%
Other values (8)	47595	10.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	437325	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	69861	16.0%
e	52365	12.0%
u	49104	11.2%
i	45387	10.4%
o	38025	8.7%
g	33186	7.6%
h	33186	7.6%
f	30258	6.9%
s	23229	5.3%
t	15129	3.5%
Other values (8)	47595	10.9%

quantity_group
Categorical

High correlation

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	464.2 KiB

enough	33186
insufficient	15129
dry	6246
seasonal	4050
unknown	789

Length

Max length	12
Median length	6
Mean length	7.3623737
Min length	3

Characters and Unicode

Total characters	437325
Distinct characters	18
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	enough
2nd row	insufficient
3rd row	enough
4th row	dry
5th row	seasonal

Common Values

Value	Count	Frequency (%)
enough	33186	55.9%
insufficient	15129	25.5%
dry	6246	10.5%
seasonal	4050	6.8%
unknown	789	1.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
enough	33186	55.9%
insufficient	15129	25.5%
dry	6246	10.5%
seasonal	4050	6.8%
unknown	789	1.3%

Most occurring characters

Value	Count	Frequency (%)
n	69861	16.0%
e	52365	12.0%
u	49104	11.2%
i	45387	10.4%
o	38025	8.7%
g	33186	7.6%
h	33186	7.6%
f	30258	6.9%
s	23229	5.3%
t	15129	3.5%
Other values (8)	47595	10.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	437325	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	69861	16.0%
e	52365	12.0%
u	49104	11.2%
i	45387	10.4%
o	38025	8.7%
g	33186	7.6%
h	33186	7.6%
f	30258	6.9%
s	23229	5.3%
t	15129	3.5%
Other values (8)	47595	10.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	437325	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	69861	16.0%
e	52365	12.0%
u	49104	11.2%
i	45387	10.4%
o	38025	8.7%
g	33186	7.6%
h	33186	7.6%
f	30258	6.9%
s	23229	5.3%
t	15129	3.5%
Other values (8)	47595	10.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	437325	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	69861	16.0%
e	52365	12.0%
u	49104	11.2%
i	45387	10.4%
o	38025	8.7%
g	33186	7.6%
h	33186	7.6%
f	30258	6.9%
s	23229	5.3%
t	15129	3.5%
Other values (8)	47595	10.9%

source
Categorical

High correlation

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	464.2 KiB

spring	17021
shallow well	16824
machine dbh	11075
river	9612
rainwater harvesting	2295
Other values (5)	2573

Length

Max length	20
Median length	12
Mean length	8.9788047
Min length	3

Characters and Unicode

Total characters	533341
Distinct characters	21
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	spring
2nd row	rainwater harvesting
3rd row	dam
4th row	machine dbh
5th row	rainwater harvesting

Common Values

Value	Count	Frequency (%)
spring	17021	28.7%
shallow well	16824	28.3%
machine dbh	11075	18.6%
river	9612	16.2%
rainwater harvesting	2295	3.9%
hand dtw	874	1.5%
lake	765	1.3%
dam	656	1.1%
other	212	0.4%
unknown	66	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
spring	17021	18.8%
shallow	16824	18.6%
well	16824	18.6%
machine	11075	12.2%
dbh	11075	12.2%
river	9612	10.6%
rainwater	2295	2.5%
harvesting	2295	2.5%
hand	874	1.0%
dtw	874	1.0%
Other values (4)	1699	1.9%

Most occurring characters

Value	Count	Frequency (%)
l	68061	12.8%
r	43342	8.1%
e	43078	8.1%
h	42355	7.9%
i	42298	7.9%
a	37079	7.0%
w	36883	6.9%
s	36140	6.8%
n	33758	6.3%
	31068	5.8%
Other values (11)	119279	22.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	533341	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
l	68061	12.8%
r	43342	8.1%
e	43078	8.1%
h	42355	7.9%
i	42298	7.9%
a	37079	7.0%
w	36883	6.9%
s	36140	6.8%
n	33758	6.3%
	31068	5.8%
Other values (11)	119279	22.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	533341	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
l	68061	12.8%
r	43342	8.1%
e	43078	8.1%
h	42355	7.9%
i	42298	7.9%
a	37079	7.0%
w	36883	6.9%
s	36140	6.8%
n	33758	6.3%
	31068	5.8%
Other values (11)	119279	22.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	533341	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
l	68061	12.8%
r	43342	8.1%
e	43078	8.1%
h	42355	7.9%
i	42298	7.9%
a	37079	7.0%
w	36883	6.9%
s	36140	6.8%
n	33758	6.3%
	31068	5.8%
Other values (11)	119279	22.4%

source_type
Categorical

High correlation

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	464.2 KiB

spring	17021
shallow well	16824
borehole	11949
river/lake	10377
rainwater harvesting	2295
Other values (2)	934

Length

Max length	20
Median length	12
Mean length	9.3036027
Min length	3

Characters and Unicode

Total characters	552634
Distinct characters	20
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	spring
2nd row	rainwater harvesting
3rd row	dam
4th row	borehole
5th row	rainwater harvesting

Common Values

Value	Count	Frequency (%)
spring	17021	28.7%
shallow well	16824	28.3%
borehole	11949	20.1%
river/lake	10377	17.5%
rainwater harvesting	2295	3.9%
dam	656	1.1%
other	278	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
spring	17021	21.7%
shallow	16824	21.4%
well	16824	21.4%
borehole	11949	15.2%
river/lake	10377	13.2%
rainwater	2295	2.9%
harvesting	2295	2.9%
dam	656	0.8%
other	278	0.4%

Most occurring characters

Value	Count	Frequency (%)
l	89622	16.2%
e	66344	12.0%
r	56887	10.3%
o	41000	7.4%
s	36140	6.5%
w	35943	6.5%
a	34742	6.3%
i	31988	5.8%
h	31346	5.7%
n	21611	3.9%
Other values (10)	107011	19.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	552634	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
l	89622	16.2%
e	66344	12.0%
r	56887	10.3%
o	41000	7.4%
s	36140	6.5%
w	35943	6.5%
a	34742	6.3%
i	31988	5.8%
h	31346	5.7%
n	21611	3.9%
Other values (10)	107011	19.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	552634	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
l	89622	16.2%
e	66344	12.0%
r	56887	10.3%
o	41000	7.4%
s	36140	6.5%
w	35943	6.5%
a	34742	6.3%
i	31988	5.8%
h	31346	5.7%
n	21611	3.9%
Other values (10)	107011	19.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	552634	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
l	89622	16.2%
e	66344	12.0%
r	56887	10.3%
o	41000	7.4%
s	36140	6.5%
w	35943	6.5%
a	34742	6.3%
i	31988	5.8%
h	31346	5.7%
n	21611	3.9%
Other values (10)	107011	19.4%

source_class
Categorical

High correlation

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	464.2 KiB

groundwater	45794
surface	13328
unknown	278

Length

Max length	11
Median length	11
Mean length	10.083771
Min length	7

Characters and Unicode

Total characters	598976
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	groundwater
2nd row	surface
3rd row	surface
4th row	groundwater
5th row	surface

Common Values

Value	Count	Frequency (%)
groundwater	45794	77.1%
surface	13328	22.4%
unknown	278	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
groundwater	45794	77.1%
surface	13328	22.4%
unknown	278	0.5%

Most occurring characters

Value	Count	Frequency (%)
r	104916	17.5%
u	59400	9.9%
a	59122	9.9%
e	59122	9.9%
n	46628	7.8%
o	46072	7.7%
w	46072	7.7%
g	45794	7.6%
d	45794	7.6%
t	45794	7.6%
Other values (4)	40262	6.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	598976	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	104916	17.5%
u	59400	9.9%
a	59122	9.9%
e	59122	9.9%
n	46628	7.8%
o	46072	7.7%
w	46072	7.7%
g	45794	7.6%
d	45794	7.6%
t	45794	7.6%
Other values (4)	40262	6.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	598976	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	104916	17.5%
u	59400	9.9%
a	59122	9.9%
e	59122	9.9%
n	46628	7.8%
o	46072	7.7%
w	46072	7.7%
g	45794	7.6%
d	45794	7.6%
t	45794	7.6%
Other values (4)	40262	6.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	598976	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	104916	17.5%
u	59400	9.9%
a	59122	9.9%
e	59122	9.9%
n	46628	7.8%
o	46072	7.7%
w	46072	7.7%
g	45794	7.6%
d	45794	7.6%
t	45794	7.6%
Other values (4)	40262	6.7%

waterpoint_type
Categorical

High correlation

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	464.2 KiB

communal standpipe	28522
hand pump	17488
other	6380
communal standpipe multiple	6103
improved spring	784
Other values (2)	123

Length

Max length	27
Median length	18
Mean length	14.827576
Min length	3

Characters and Unicode

Total characters	880758
Distinct characters	18
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	communal standpipe
2nd row	communal standpipe
3rd row	communal standpipe multiple
4th row	communal standpipe multiple
5th row	communal standpipe

Common Values

Value	Count	Frequency (%)
communal standpipe	28522	48.0%
hand pump	17488	29.4%
other	6380	10.7%
communal standpipe multiple	6103	10.3%
improved spring	784	1.3%
cattle trough	116	0.2%
dam	7	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
communal	34625	29.2%
standpipe	34625	29.2%
hand	17488	14.8%
pump	17488	14.8%
other	6380	5.4%
multiple	6103	5.1%
improved	784	0.7%
spring	784	0.7%
cattle	116	0.1%
trough	116	0.1%

Most occurring characters

Value	Count	Frequency (%)
p	111897	12.7%
m	93632	10.6%
n	87522	9.9%
a	86861	9.9%
	59116	6.7%
u	58332	6.6%
d	52904	6.0%
e	48008	5.5%
t	47456	5.4%
l	46947	5.3%
Other values (8)	188083	21.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	880758	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
p	111897	12.7%
m	93632	10.6%
n	87522	9.9%
a	86861	9.9%
	59116	6.7%
u	58332	6.6%
d	52904	6.0%
e	48008	5.5%
t	47456	5.4%
l	46947	5.3%
Other values (8)	188083	21.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	880758	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
p	111897	12.7%
m	93632	10.6%
n	87522	9.9%
a	86861	9.9%
	59116	6.7%
u	58332	6.6%
d	52904	6.0%
e	48008	5.5%
t	47456	5.4%
l	46947	5.3%
Other values (8)	188083	21.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	880758	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
p	111897	12.7%
m	93632	10.6%
n	87522	9.9%
a	86861	9.9%
	59116	6.7%
u	58332	6.6%
d	52904	6.0%
e	48008	5.5%
t	47456	5.4%
l	46947	5.3%
Other values (8)	188083	21.4%

waterpoint_type_group
Categorical

High correlation

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	464.2 KiB

communal standpipe	34625
hand pump	17488
other	6380
improved spring	784
cattle trough	116

Length

Max length	18
Median length	18
Mean length	13.902879
Min length	3

Characters and Unicode

Total characters	825831
Distinct characters	18
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	communal standpipe
2nd row	communal standpipe
3rd row	communal standpipe
4th row	communal standpipe
5th row	communal standpipe

Common Values

Value	Count	Frequency (%)
communal standpipe	34625	58.3%
hand pump	17488	29.4%
other	6380	10.7%
improved spring	784	1.3%
cattle trough	116	0.2%
dam	7	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
communal	34625	30.8%
standpipe	34625	30.8%
hand	17488	15.6%
pump	17488	15.6%
other	6380	5.7%
improved	784	0.7%
spring	784	0.7%
cattle	116	0.1%
trough	116	0.1%
dam	7	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
p	105794	12.8%
m	87529	10.6%
n	87522	10.6%
a	86861	10.5%
	53013	6.4%
d	52904	6.4%
u	52229	6.3%
e	41905	5.1%
o	41905	5.1%
t	41353	5.0%
Other values (8)	174816	21.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	825831	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
p	105794	12.8%
m	87529	10.6%
n	87522	10.6%
a	86861	10.5%
	53013	6.4%
d	52904	6.4%
u	52229	6.3%
e	41905	5.1%
o	41905	5.1%
t	41353	5.0%
Other values (8)	174816	21.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	825831	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
p	105794	12.8%
m	87529	10.6%
n	87522	10.6%
a	86861	10.5%
	53013	6.4%
d	52904	6.4%
u	52229	6.3%
e	41905	5.1%
o	41905	5.1%
t	41353	5.0%
Other values (8)	174816	21.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	825831	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
p	105794	12.8%
m	87529	10.6%
n	87522	10.6%
a	86861	10.5%
	53013	6.4%
d	52904	6.4%
u	52229	6.3%
e	41905	5.1%
o	41905	5.1%
t	41353	5.0%
Other values (8)	174816	21.2%

Interactions

Correlations

	amount_tsh	basin	construction_year	district_code	extraction_type	extraction_type_class	extraction_type_group	gps_height	id	latitude	longitude	management	management_group	num_private	payment	payment_type	permit	population	public_meeting	quality_group	quantity	quantity_group	region	region_code	scheme_management	source	source_class	source_type	water_quality	waterpoint_type	waterpoint_type_group
amount_tsh	1.000	0.010	0.408	-0.089	0.014	0.012	0.007	0.342	-0.005	-0.262	0.209	0.024	0.026	0.032	0.016	0.016	0.000	0.343	0.013	0.000	0.000	0.000	0.014	-0.150	0.019	0.007	0.017	0.010	0.000	0.000	0.000
basin	0.010	1.000	0.525	0.228	0.246	0.250	0.239	0.280	0.000	0.606	0.647	0.222	0.142	0.007	0.245	0.245	0.200	0.024	0.114	0.139	0.139	0.139	0.767	0.475	0.240	0.245	0.123	0.255	0.119	0.208	0.196
construction_year	0.408	0.525	1.000	-0.063	0.318	0.269	0.314	0.612	-0.003	-0.192	0.479	0.287	0.081	0.050	0.267	0.267	0.082	0.678	0.025	0.126	0.129	0.129	0.945	-0.209	0.289	0.282	0.098	0.275	0.130	0.232	0.230
district_code	-0.089	0.228	-0.063	1.000	0.115	0.100	0.107	-0.136	0.000	-0.134	0.131	0.066	0.049	0.003	0.089	0.089	0.186	-0.074	0.174	0.067	0.074	0.074	0.385	0.119	0.075	0.070	0.070	0.083	0.058	0.073	0.069
extraction_type	0.014	0.246	0.318	0.115	1.000	1.000	1.000	0.160	0.000	0.195	0.226	0.166	0.128	0.000	0.244	0.244	0.212	0.029	0.137	0.173	0.122	0.122	0.261	0.169	0.192	0.408	0.309	0.483	0.148	0.505	0.537
extraction_type_class	0.012	0.250	0.269	0.100	1.000	1.000	1.000	0.168	0.000	0.196	0.196	0.200	0.118	0.009	0.231	0.231	0.171	0.027	0.100	0.160	0.108	0.108	0.358	0.139	0.207	0.455	0.271	0.440	0.147	0.504	0.536
extraction_type_group	0.007	0.239	0.314	0.107	1.000	1.000	1.000	0.156	0.000	0.186	0.217	0.157	0.121	0.000	0.242	0.242	0.197	0.027	0.106	0.170	0.116	0.116	0.291	0.164	0.171	0.393	0.271	0.465	0.145	0.504	0.536
gps_height	0.342	0.280	0.612	-0.136	0.160	0.168	0.156	1.000	-0.005	-0.087	0.160	0.142	0.054	0.043	0.167	0.167	0.190	0.547	0.079	0.098	0.100	0.100	0.466	-0.202	0.134	0.154	0.087	0.177	0.084	0.122	0.121
id	-0.005	0.000	-0.003	0.000	0.000	0.000	0.000	-0.005	1.000	0.003	0.001	0.000	0.000	0.004	0.001	0.001	0.000	0.003	0.010	0.000	0.000	0.000	0.004	0.001	0.000	0.002	0.007	0.006	0.000	0.008	0.008
latitude	-0.262	0.606	-0.192	-0.134	0.195	0.196	0.186	-0.087	0.003	1.000	-0.362	0.201	0.143	-0.009	0.210	0.210	0.196	-0.141	0.061	0.120	0.139	0.139	0.675	0.192	0.230	0.183	0.123	0.189	0.113	0.145	0.133
longitude	0.209	0.647	0.479	0.131	0.226	0.196	0.217	0.160	0.001	-0.362	1.000	0.237	0.106	0.136	0.199	0.199	0.120	0.398	0.064	0.103	0.101	0.101	0.793	-0.458	0.294	0.169	0.064	0.140	0.129	0.193	0.192
management	0.024	0.222	0.287	0.066	0.166	0.200	0.157	0.142	0.000	0.201	0.237	1.000	1.000	0.033	0.226	0.226	0.240	0.032	0.292	0.157	0.239	0.239	0.343	0.138	0.794	0.216	0.201	0.259	0.139	0.155	0.166
management_group	0.026	0.142	0.081	0.049	0.128	0.118	0.121	0.054	0.000	0.143	0.106	1.000	1.000	0.020	0.145	0.145	0.044	0.031	0.250	0.138	0.228	0.228	0.222	0.084	0.700	0.225	0.136	0.219	0.139	0.070	0.067
num_private	0.032	0.007	0.050	0.003	0.000	0.009	0.000	0.043	0.004	-0.009	0.136	0.033	0.020	1.000	0.007	0.007	0.007	0.033	0.000	0.011	0.000	0.000	0.008	-0.093	0.016	0.000	0.000	0.000	0.009	0.000	0.000
payment	0.016	0.245	0.267	0.089	0.244	0.231	0.242	0.167	0.001	0.210	0.199	0.226	0.145	0.007	1.000	1.000	0.185	0.019	0.144	0.143	0.127	0.127	0.357	0.153	0.203	0.204	0.098	0.190	0.133	0.163	0.163
payment_type	0.016	0.245	0.267	0.089	0.244	0.231	0.242	0.167	0.001	0.210	0.199	0.226	0.145	0.007	1.000	1.000	0.185	0.019	0.144	0.143	0.127	0.127	0.357	0.153	0.203	0.204	0.098	0.190	0.133	0.163	0.163
permit	0.000	0.200	0.082	0.186	0.212	0.171	0.197	0.190	0.000	0.196	0.120	0.240	0.044	0.007	0.185	0.185	1.000	0.035	0.137	0.119	0.056	0.056	0.408	0.159	0.293	0.221	0.114	0.219	0.134	0.155	0.147
population	0.343	0.024	0.678	-0.074	0.029	0.027	0.027	0.547	0.003	-0.141	0.398	0.032	0.031	0.033	0.019	0.019	0.035	1.000	0.032	0.004	0.009	0.009	0.050	-0.093	0.044	0.021	0.000	0.020	0.000	0.029	0.028
public_meeting	0.013	0.114	0.025	0.174	0.137	0.100	0.106	0.079	0.010	0.061	0.064	0.292	0.250	0.000	0.144	0.144	0.137	0.032	1.000	0.060	0.104	0.104	0.258	0.120	0.268	0.109	0.059	0.096	0.060	0.094	0.093
quality_group	0.000	0.139	0.126	0.067	0.173	0.160	0.170	0.098	0.000	0.120	0.103	0.157	0.138	0.011	0.143	0.143	0.119	0.004	0.060	1.000	0.279	0.279	0.215	0.079	0.082	0.179	0.135	0.174	1.000	0.138	0.131
quantity	0.000	0.139	0.129	0.074	0.122	0.108	0.116	0.100	0.000	0.139	0.101	0.239	0.228	0.000	0.127	0.127	0.056	0.009	0.104	0.279	1.000	1.000	0.212	0.090	0.148	0.205	0.137	0.199	0.280	0.092	0.084
quantity_group	0.000	0.139	0.129	0.074	0.122	0.108	0.116	0.100	0.000	0.139	0.101	0.239	0.228	0.000	0.127	0.127	0.056	0.009	0.104	0.279	1.000	1.000	0.212	0.090	0.148	0.205	0.137	0.199	0.280	0.092	0.084
region	0.014	0.767	0.945	0.385	0.261	0.358	0.291	0.466	0.004	0.675	0.793	0.343	0.222	0.008	0.357	0.357	0.408	0.050	0.258	0.215	0.212	0.212	1.000	0.790	0.381	0.322	0.220	0.356	0.198	0.294	0.271
region_code	-0.150	0.475	-0.209	0.119	0.169	0.139	0.164	-0.202	0.001	0.192	-0.458	0.138	0.084	-0.093	0.153	0.153	0.159	-0.093	0.120	0.079	0.090	0.090	0.790	1.000	0.170	0.126	0.082	0.109	0.074	0.127	0.122
scheme_management	0.019	0.240	0.289	0.075	0.192	0.207	0.171	0.134	0.000	0.230	0.294	0.794	0.700	0.016	0.203	0.203	0.293	0.044	0.268	0.082	0.148	0.148	0.381	0.170	1.000	0.224	0.218	0.269	0.085	0.171	0.182
source	0.007	0.245	0.282	0.070	0.408	0.455	0.393	0.154	0.002	0.183	0.169	0.216	0.225	0.000	0.204	0.204	0.221	0.021	0.109	0.179	0.205	0.205	0.322	0.126	0.224	1.000	1.000	1.000	0.152	0.379	0.385
source_class	0.017	0.123	0.098	0.070	0.309	0.271	0.271	0.087	0.007	0.123	0.064	0.201	0.136	0.000	0.098	0.098	0.114	0.000	0.059	0.135	0.137	0.137	0.220	0.082	0.218	1.000	1.000	1.000	0.135	0.284	0.284
source_type	0.010	0.255	0.275	0.083	0.483	0.440	0.465	0.177	0.006	0.189	0.140	0.259	0.219	0.000	0.190	0.190	0.219	0.020	0.096	0.174	0.199	0.199	0.356	0.109	0.269	1.000	1.000	1.000	0.159	0.367	0.380
water_quality	0.000	0.119	0.130	0.058	0.148	0.147	0.145	0.084	0.000	0.113	0.129	0.139	0.139	0.009	0.133	0.133	0.134	0.000	0.060	1.000	0.280	0.280	0.198	0.074	0.085	0.152	0.135	0.159	1.000	0.127	0.132
waterpoint_type	0.000	0.208	0.232	0.073	0.505	0.504	0.504	0.122	0.008	0.145	0.193	0.155	0.070	0.000	0.163	0.163	0.155	0.029	0.094	0.138	0.092	0.092	0.294	0.127	0.171	0.379	0.284	0.367	0.127	1.000	1.000
waterpoint_type_group	0.000	0.196	0.230	0.069	0.537	0.536	0.536	0.121	0.008	0.133	0.192	0.166	0.067	0.000	0.163	0.163	0.147	0.028	0.093	0.131	0.084	0.084	0.271	0.122	0.182	0.385	0.284	0.380	0.132	1.000	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	id	amount_tsh	date_recorded	funder	gps_height	installer	longitude	latitude	wpt_name	basin	subvillage	region	region_code	district_code	lga	ward	population	public_meeting	recorded_by	scheme_management	scheme_name	permit	construction_year	extraction_type	extraction_type_group	extraction_type_class	management	management_group	payment	payment_type	water_quality	quality_group	quantity	quantity_group	source	source_type	source_class	waterpoint_type	waterpoint_type_group
0	69572	6000.0	2011-03-14	Roman	1390	Roman	34.938093	-9.856322	none	Lake Nyasa	Mnyusi B	Iringa	11	5	Ludewa	Mundindi	109	True	GeoData Consultants Ltd	VWC	Roman	False	1999	gravity	gravity	gravity	vwc	user-group	pay annually	annually	soft	good	enough	enough	spring	spring	groundwater	communal standpipe	communal standpipe
1	8776	0.0	2013-03-06	Grumeti	1399	GRUMETI	34.698766	-2.147466	Zahanati	Lake Victoria	Nyamara	Mara	20	2	Serengeti	Natta	280	NaN	GeoData Consultants Ltd	Other	NaN	True	2010	gravity	gravity	gravity	wug	user-group	never pay	never pay	soft	good	insufficient	insufficient	rainwater harvesting	rainwater harvesting	surface	communal standpipe	communal standpipe
2	34310	25.0	2013-02-25	Lottery Club	686	World vision	37.460664	-3.821329	Kwa Mahundi	Pangani	Majengo	Manyara	21	4	Simanjiro	Ngorika	250	True	GeoData Consultants Ltd	VWC	Nyumba ya mungu pipe scheme	True	2009	gravity	gravity	gravity	vwc	user-group	pay per bucket	per bucket	soft	good	enough	enough	dam	dam	surface	communal standpipe multiple	communal standpipe
3	67743	0.0	2013-01-28	Unicef	263	UNICEF	38.486161	-11.155298	Zahanati Ya Nanyumbu	Ruvuma / Southern Coast	Mahakamani	Mtwara	90	63	Nanyumbu	Nanyumbu	58	True	GeoData Consultants Ltd	VWC	NaN	True	1986	submersible	submersible	submersible	vwc	user-group	never pay	never pay	soft	good	dry	dry	machine dbh	borehole	groundwater	communal standpipe multiple	communal standpipe
4	19728	0.0	2011-07-13	Action In A	0	Artisan	31.130847	-1.825359	Shuleni	Lake Victoria	Kyanyamisa	Kagera	18	1	Karagwe	Nyakasimbi	0	True	GeoData Consultants Ltd	NaN	NaN	True	0	gravity	gravity	gravity	other	other	never pay	never pay	soft	good	seasonal	seasonal	rainwater harvesting	rainwater harvesting	surface	communal standpipe	communal standpipe
5	9944	20.0	2011-03-13	Mkinga Distric Coun	0	DWE	39.172796	-4.765587	Tajiri	Pangani	Moa/Mwereme	Tanga	4	8	Mkinga	Moa	1	True	GeoData Consultants Ltd	VWC	Zingibali	True	2009	submersible	submersible	submersible	vwc	user-group	pay per bucket	per bucket	salty	salty	enough	enough	other	other	unknown	communal standpipe multiple	communal standpipe
6	19816	0.0	2012-10-01	Dwsp	0	DWSP	33.362410	-3.766365	Kwa Ngomho	Internal	Ishinabulandi	Shinyanga	17	3	Shinyanga Rural	Samuye	0	True	GeoData Consultants Ltd	VWC	NaN	True	0	swn 80	swn 80	handpump	vwc	user-group	never pay	never pay	soft	good	enough	enough	machine dbh	borehole	groundwater	hand pump	hand pump
7	54551	0.0	2012-10-09	Rwssp	0	DWE	32.620617	-4.226198	Tushirikiane	Lake Tanganyika	Nyawishi Center	Shinyanga	17	3	Kahama	Chambo	0	True	GeoData Consultants Ltd	NaN	NaN	True	0	nira/tanira	nira/tanira	handpump	wug	user-group	unknown	unknown	milky	milky	enough	enough	shallow well	shallow well	groundwater	hand pump	hand pump
8	53934	0.0	2012-11-03	Wateraid	0	Water Aid	32.711100	-5.146712	Kwa Ramadhan Musa	Lake Tanganyika	Imalauduki	Tabora	14	6	Tabora Urban	Itetemia	0	True	GeoData Consultants Ltd	VWC	NaN	True	0	india mark ii	india mark ii	handpump	vwc	user-group	never pay	never pay	salty	salty	seasonal	seasonal	machine dbh	borehole	groundwater	hand pump	hand pump
9	46144	0.0	2011-08-03	Isingiro Ho	0	Artisan	30.626991	-1.257051	Kwapeto	Lake Victoria	Mkonomre	Kagera	18	1	Karagwe	Kaisho	0	True	GeoData Consultants Ltd	NaN	NaN	True	0	nira/tanira	nira/tanira	handpump	vwc	user-group	never pay	never pay	soft	good	enough	enough	shallow well	shallow well	groundwater	hand pump	hand pump

	id	amount_tsh	date_recorded	funder	gps_height	installer	longitude	latitude	wpt_name	basin	subvillage	region	region_code	district_code	lga	ward	population	public_meeting	recorded_by	scheme_management	scheme_name	permit	construction_year	extraction_type	extraction_type_group	extraction_type_class	management	management_group	payment	payment_type	water_quality	quality_group	quantity	quantity_group	source	source_type	source_class	waterpoint_type	waterpoint_type_group
59390	13677	0.0	2011-08-04	Rudep	1715	DWE	31.370848	-8.258160	Kwa Mzee Atanas	Lake Tanganyika	Kitonto	Rukwa	15	2	Sumbawanga Rural	Mkowe	150	True	GeoData Consultants Ltd	VWC	NaN	False	1991	swn 80	swn 80	handpump	vwc	user-group	never pay	never pay	soft	good	insufficient	insufficient	machine dbh	borehole	groundwater	hand pump	hand pump
59391	44885	0.0	2013-08-03	Government Of Tanzania	540	Government	38.044070	-4.272218	Kwa	Pangani	Maore Kati	Kilimanjaro	3	3	Same	Maore	210	True	GeoData Consultants Ltd	Water authority	Hingilili	True	1967	gravity	gravity	gravity	vwc	user-group	never pay	never pay	soft	good	enough	enough	river	river/lake	surface	communal standpipe	communal standpipe
59392	40607	0.0	2011-04-15	Government Of Tanzania	0	Government	33.009440	-8.520888	Benard Charles	Lake Rukwa	Mbuyuni A	Mbeya	12	1	Chunya	Mbuyuni	0	True	GeoData Consultants Ltd	VWC	NaN	True	0	gravity	gravity	gravity	vwc	user-group	never pay	never pay	soft	good	enough	enough	spring	spring	groundwater	communal standpipe	communal standpipe
59393	48348	0.0	2012-10-27	Private	0	Private	33.866852	-4.287410	Kwa Peter	Internal	Masanga	Tabora	14	2	Igunga	Igunga	0	False	GeoData Consultants Ltd	Water authority	NaN	False	0	gravity	gravity	gravity	private operator	commercial	pay per bucket	per bucket	soft	good	insufficient	insufficient	dam	dam	surface	other	other
59394	11164	500.0	2011-03-09	World Bank	351	ML appro	37.634053	-6.124830	Chimeredya	Wami / Ruvu	Komstari	Morogoro	5	6	Mvomero	Diongoya	89	True	GeoData Consultants Ltd	VWC	NaN	True	2007	submersible	submersible	submersible	vwc	user-group	pay monthly	monthly	soft	good	enough	enough	machine dbh	borehole	groundwater	communal standpipe	communal standpipe
59395	60739	10.0	2013-05-03	Germany Republi	1210	CES	37.169807	-3.253847	Area Three Namba 27	Pangani	Kiduruni	Kilimanjaro	3	5	Hai	Masama Magharibi	125	True	GeoData Consultants Ltd	Water Board	Losaa Kia water supply	True	1999	gravity	gravity	gravity	water board	user-group	pay per bucket	per bucket	soft	good	enough	enough	spring	spring	groundwater	communal standpipe	communal standpipe
59396	27263	4700.0	2011-05-07	Cefa-njombe	1212	Cefa	35.249991	-9.070629	Kwa Yahona Kuvala	Rufiji	Igumbilo	Iringa	11	4	Njombe	Ikondo	56	True	GeoData Consultants Ltd	VWC	Ikondo electrical water sch	True	1996	gravity	gravity	gravity	vwc	user-group	pay annually	annually	soft	good	enough	enough	river	river/lake	surface	communal standpipe	communal standpipe
59397	37057	0.0	2011-04-11	NaN	0	NaN	34.017087	-8.750434	Mashine	Rufiji	Madungulu	Mbeya	12	7	Mbarali	Chimala	0	True	GeoData Consultants Ltd	VWC	NaN	False	0	swn 80	swn 80	handpump	vwc	user-group	pay monthly	monthly	fluoride	fluoride	enough	enough	machine dbh	borehole	groundwater	hand pump	hand pump
59398	31282	0.0	2011-03-08	Malec	0	Musa	35.861315	-6.378573	Mshoro	Rufiji	Mwinyi	Dodoma	1	4	Chamwino	Mvumi Makulu	0	True	GeoData Consultants Ltd	VWC	NaN	True	0	nira/tanira	nira/tanira	handpump	vwc	user-group	never pay	never pay	soft	good	insufficient	insufficient	shallow well	shallow well	groundwater	hand pump	hand pump
59399	26348	0.0	2011-03-23	World Bank	191	World	38.104048	-6.747464	Kwa Mzee Lugawa	Wami / Ruvu	Kikatanyemba	Morogoro	5	2	Morogoro Rural	Ngerengere	150	True	GeoData Consultants Ltd	VWC	NaN	True	2002	nira/tanira	nira/tanira	handpump	vwc	user-group	pay when scheme fails	on failure	salty	salty	enough	enough	shallow well	shallow well	groundwater	hand pump	hand pump

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category